Discordance between Criteria-diagnosed and clinically-diagnosed Asthma COPD Overlap (ACO) among hospitalized patients in an Indian referral hospital.

J. Daniel, Barney Isaac, Devasahayam Jesudas Christopher
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Abstract

Background and Objectives:  Asthma-COPD-overlap (ACO), as a single entity, has been widely contested over the past few years. Most ACO diagnostic criteria do not agree with each other when applied to respiratory patients. From 2016 to 2020, GINA described a syndromic approach for diagnosing ACO, which was replaced with a broader approach after 2021. We intended to learn if the GINA criteria and the CSMA Screening tool agreed with a clinical diagnosis of ACO. Methods: We performed a retrospective cross-sectional analysis of inpatients with a clinical diagnosis of ACO from 2014 to 2019. We reclassified these patients into Not-ACO and ACO using the GINA syndromic approach 2019 (GSA 2019), Modified GINA syndromic approach 2019 (MGSA 2019), GINA 2021 and the CSMA tool. We used Kappa statistics to compare the performance of various tools. Results: 83 clinically diagnosed ACO patients were included. According to GINA syndromic approach 2019, only 41 (49.39%) patients would be classified as ACO. GINA 2021 picked up 57 (68.67%) patients as ACO. The modified GINA syndromic approach 2019, which we proposed, identified 67 (80.72%) patients as ACO. The CSMA tool identified 63 (75.90%) patients as ACO. The GINA 2019 criteria, when interpreted liberally as described by us, have a better agreement with the CSMA tool with a sensitivity of 87.3% and specificity of 40%, with a 'k' agreement of 29.3%. Conclusion: The standard GINA syndromic approach 2019 Tool is stringent and may sometimes miss the ACO diagnosis. The original GINA syndromic approach table 2019 should be brought back with modifications.
印度一家转诊医院住院患者标准诊断与临床诊断哮喘慢性阻塞性肺病重叠(ACO)的不一致
背景和目的:哮喘- copd重叠(ACO)作为一个单一的实体,在过去的几年中一直存在广泛的争议。大多数ACO诊断标准在应用于呼吸系统患者时并不一致。从2016年到2020年,GINA描述了一种诊断ACO的综合征方法,该方法在2021年后被更广泛的方法所取代。我们打算了解GINA标准和CSMA筛查工具是否符合ACO的临床诊断。方法:对2014 - 2019年临床诊断为ACO的住院患者进行回顾性横断面分析。我们使用GINA综合征方法2019 (GSA 2019)、改良GINA综合征方法2019 (MGSA 2019)、GINA 2021和CSMA工具将这些患者重新分类为非ACO和ACO。我们使用Kappa统计来比较各种工具的性能。结果:纳入83例临床诊断为ACO的患者。根据2019年GINA综合征方法,只有41例(49.39%)患者被分类为ACO。GINA 2021纳入了57例(68.67%)ACO患者。我们提出的改进GINA综合征方法2019确定了67例(80.72%)患者为ACO。CSMA工具鉴定63例(75.90%)患者为ACO。当按照我们的描述自由解释时,GINA 2019标准与CSMA工具具有更好的一致性,灵敏度为87.3%,特异性为40%,“k”一致性为29.3%。结论:标准GINA证候入路2019工具严格,有时可能漏诊。最初的GINA综合征进路表2019应在修改后恢复。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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